Depression-Related Short-Term Disability in an Employed Population
Bibliographic record
Abstract
Learning Objectives Identify the economic consequences of depression and the likely ways in which depression influences performance at the workplace. Appreciate the prevalence of short-term disability with and without depression, and the influence of gender, age, and past history on depression-related disability. Recognize how the outcome of depression-related short-term disability is influenced by gender, age, and the number of depressive symptoms. There has been a growing realization that the number of workplace disability claims for mental and nervous disorders is increasing. Yet, little is known about the working population disabled by these disorders. Absence of basic information describing this population makes it virtually impossible to plan effective workplace programs. Using administrative data collected from three major Canadian financial/insurance sector employers, we focus on one group of disorders—depression. In this study, we report the prevalence of short-term disability due to depression and describe the characteristics of workers affected and their disability outcomes. We observed that compared with other nervous and mental disorders, depression-related short-term disability generally affected more employees, lasted longer, and had a higher rate of recurrence. In addition, at the end of their episodes more than three quarters of workers returned to work. These estimates suggest that the potential magnitude of the impact of short-term disability should be a concern for employers. This study helps identify the main characteristics of workers who develop depression-related disability. It also helps clarify what happens to those on short-term disability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".